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Defective Gasket Pressure at Hydrolock Manufacturing

CASELET, OPERATIONS MANAGEMENT
ET Cases, 1 page

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Defective Gasket Pressure at Hydrolock Manufacturing

 

Hydrolock Manufacturing Pvt. Ltd. (HM), an Indian component manufacturing company based in Chennai, India, was involved in manufacturing of small rubber  gaskets used in hydraulic systems.

Hydrolock Manufacturing founded in 2008 by George Sympson (George), an engineering graduate and an entrepreneur, had flourished to be one of the leading  component suppliers in Chennai. George designed gaskets in a simple design to make it relatively easy to produce. The demand for HM products increased rapidly and the manufacturing facility was constantly under pressure to manufacture around the clock to meet the demand order. The production supervisors received calls from customers to find out lead times for prospective orders and delivery times for existing orders. In turn, the production supervisors continuously harried the employees to increase output to meet demand.....................

Teaching Note Preview

Defective Gasket Pressure at Hydrolock Manufacturing

 

Synopsis

This caselet enables a discussion on the concept of Control Charts, using the dilemma at Hydrolock Manufacturing (HM) an upcoming manufacturing company in Chennai, India, as the backdrop. Within a few years of its inception in 2008, as the demand for its products increased, the company was under tremendous pressure to increase the output. But, this resulted in quality problems in the products. Significant numbers of defectives were reported in the customer feedback. Newly appointed Quality Analyst, Antony Joseph implemented Statistical Process Control (SPC) methods to analyze the issue. Will the application of Statistical Process Control (SPC) help control the process?

Preconceptual Understanding and Before the Classroom Discussion

The participants were asked to read the following chapter given as mandatory readings at the end of the caselet to participate effectively and to enrich the learning outcomes:

  • • Jay Heizer, et al., “Supplement 5: Statistical Process Control”, Operations Management, 9th Edition, Pearson Education, 2008
  • • Richard I. Levin and David S. Rubin, “Chapter 10: Quality and Quality Control”, Statistics for Management, 7th Edition, Pearson Education, 2008

 

Case Positioning and Setting

This Caselet can be used in MBA/Executive MBA program for Operations Management course to illustrate ‘Statistical Process Control’ and exemplify ‘Control Charts’.

Expected Learning Outcomes

  • • The concept of Control Charts
  • • How to infer from control charts to improve the process

 

Assignment Questions

  • I. What type of control chart would you apply, if you were the Quality Analyst at Hydrolock Manufacturing? Why?
  • II. Is the process in-control at Hydrolock Manufacturing? Elaborate your analysis. What actions should be taken to revive customer satisfaction?

 

Suggested Orchestration

The classroom discussion and analysis for this caselet could be summarized and facilitated under two broad sections [Exhibit (TN)-I]...........

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Abstract


This caselet enables a discussion on the concept of Control Charts, using the dilemma at Hydrolock Manufacturing Pvt. Ltd. (HM) an upcoming manufacturing company in Chennai, India, as the backdrop. Within a few years of its inception in 2008, as the demand for its products increased, the company was under tremendous pressure to increase the output. But, this resulted in quality problems in the products. Significant numbers of defectives were reported in the customer feedback. Newly appointed Quality Analyst, Antony Joseph implemented Statistical Process Control (SPC) methods to analyze the issue. Will the application of Statistical Process Control (SPC) help control the process?



Pedagogical Objectives

  • To discuss the concept of Control Charts
  • To understand how to infer from control charts to improve the process

Case Positioning and Setting
This caselet can be used for MBA, Executive MBA or Executive Development Programs to highlight either of the following courses:

  • Operations Management course - Statistical Process Control (chapter supplement) - To understand Statistical Process Control (SPC) methods and analyze how it benefits in improving process quality
  • Statistics for Management course - Quality and Quality Control - To understand Statistical Process Control (SPC) methods and analyze how does it benefit in quality control




This Case Pack Includes:
- Abstract
- Caselet
- Teaching Note (**ONLY for Academicians)
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